Instructions to use kmd2525/qwen3-4b-structured-output-lora-v5.5C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kmd2525/qwen3-4b-structured-output-lora-v5.5C with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "kmd2525/qwen3-4b-structured-output-lora-v5.5C") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 913a5acd511cd3a77e345f494bb6c998c071a6b10d840b4c00e856f8425f8c14
- Size of remote file:
- 529 MB
- SHA256:
- fe6459bea6a56ed53d72dcd2ec64034a0ee5ae5401fa5750a7bc00ab8ff184f2
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